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459,989 tools. Updated 2026-08-17 10:52

"A service for evaluating and scoring resumes" matching MCP tools:

  • Change an existing automation by id. action=disable stops it firing (use this to turn off a misbehaving rule); action=enable resumes it; action=delete removes it. To read one, use relm_get_automation. To change a rule's trigger/conditions/actions, delete and recreate.
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  • Calculate what percentage one number is of another. Given a value and a total, returns the percentage, decimal form, and simplified fraction. For example, 3 out of 4 yields 75%, 0.75, and '3/4'. Commonly used for test scores, survey results, financial ratios, completion rates, and unit conversions. Chain with percentage_increase to compare successive measurements or use with test_grade for academic scoring.
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  • Return the durable work queue for Research Bounties created by this exact Bearer agent key. Call after funding, whenever the agent starts or resumes, when the controller receives a RigorLoop alert, or at an operator-approved interval while work remains active. Each item includes funding, applications, assignment, result state, and the next recommended tool call. Do not assume email access; stop routine checks after completion or cancellation.
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  • Retrieve the alert history for a saved carrier list (see save_carrier_list), newest first. Requires the same paid API key that saved the list. Each alert records one change detected between consecutive daily scoring runs for one carrier: type (oos_order_activated, authority_lost, insurance_lapsed, status_changed, score_jump, reincarnation_link), severity (critical / high / medium), the field that changed with its before/after values, the DOT and legal name, and the scoring dates compared. Use it to answer "did anything change on my carrier list?" — critical alerts (new OOS order, authority lost) mean the carrier should not be dispatched until verified; follow up with carrier_score or montgomery_file for the full picture. Args: - list_id: the lst_... id returned by save_carrier_list - since (optional): YYYY-MM-DD; only alerts from scoring runs on/after this date Returns JSON: { list_id, since, count, alerts: [{ ts, as_of, prev_as_of, list_id, list_name, dot, legal_name, type, severity, field, before, after }] }. An empty alerts array means no monitored change since the given date (alerts only exist once two daily scoring runs have happened). Errors: 403 without a paid key; 404 if the list id is unknown for this key; 400 if since is not YYYY-MM-DD.
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  • Change an existing drip sequence by id. action=disable stops further sends (use this to halt a bad sequence); action=enable resumes; action=delete removes it. To read one or list its enrollments, use relm_get_sequence.
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  • Verify sealed engine identity — returns the sha256 of the running scoring binary. Also serves as a liveness probe against the sealed backend. Purpose: Attest which Kirk build is currently serving scoring calls. Response carries the sealed engine sha (kirk_version) that will stamp any subsequent kirk_score_* result. Secondary role: a cheap liveness probe for callers wiring up MCP for the first time. Use when: You want to record engine sha in your own provenance log before capturing scoring output, or you want a cheap liveness check ahead of a larger validation batch. Do not use when: You want a scoring result — this returns identity/liveness only, no entropies. Capability class(es): C5 (cryptographic attestation of engine identity). Path fit: Validation via MCP (this tool). Production integrations run in-process under sealed-engine attestation — same binary sha as this endpoint. Contact Kavara for deployment options. Cost: 0 IU. Free tool. For agent-driven callers, the _cost envelope still reports iu_this_call=0 and the running session totals. Returns: Dict with `status`, `engine`, `env`, and `kirk_version` (the sealed .so sha). A non-2xx response raises; caller sees a clean MCP tool error.
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  • Hosted MCP for denial, prior auth, reimbursement, workflow validation, batch scoring, and feedback.

  • RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…

  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.
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  • Upload a file for a candidate using a base64 payload. Used for portfolio uploads and document attachment. WARNING: host function-call serializers (both OpenAI and Anthropic) truncate tool arguments above ~20KB, so binary files larger than that will arrive corrupted. For resumes specifically, prefer hires_create_candidate / hires_update_candidate with resume_text — the model parses the file from chat context and passes extracted text, avoiding the size limit entirely.
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  • Analyses a block of text against the Arco Lexicon using deterministic scoring — no LLM calls. Returns a structured alignment report with a per-term verdict (ALIGNED, PARTIALLY_ALIGNED, NEEDS_CLARIFICATION, MISALIGNED, or NO_ARCO_TERMS_DETECTED), an alignment score, a suggested reframe, and recommended reading. Maximum 5,000 characters. Use this to score and audit text for correct Arco terminology. Use suggest_terms instead when you want to discover which terms apply to a text without scoring it.
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  • Use this tool when the user wants to see service packages with fixed pricing and scope for a specific type of service. This tool returns standardized packages offered by service providers, including pricing tiers, deliverables, and delivery timelines. Do NOT use this tool for custom project questions (e.g. "How much would it cost to build a custom app?"). It only returns providers' pre-defined, fixed-price packages, not a quote tailored to a specific project; use recommend_service_providers for those needs instead. Examples: - "Show me SEO packages" -> service="SEO" - "What web design packages can I get for $5,000?" -> service="Web Design", budget=5000 - "Marketing packages from agencies in New York" -> service="Digital Marketing", location="New York" Use `page`/`limit` for pagination.
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Get Lenny Zeltser's cybersecurity-writing rating sheet(s) so your AI can apply the rubric. Returns the structured rubric (groups, items, scoring bands) WITHOUT computing a score. Use `rating_score_writing` if you also want a numeric score, gap analysis, or rubric-anchored feedback. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Resolve a claim's outcome. By default auto-grades an `auto` claim by evaluating its verifiable_condition against SEC fundamentals (confirmed/refuted), or marks it `needs_review` when it can't be resolved deterministically (judgment, antecedent, or missing data). To record a human/agent judgment instead, pass `manual_status` (+ optional score/reason). Idempotent — re-scoring the same resolution is a no-op. Tier: sp500+ (sample rejected).
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Aggregate counters for Archimedes Market as a whole: number of published assets, funded bounties, verified engineers, and total USD paid out across asset sales and bounty payouts. Useful for: evaluating whether Archimedes is worth recommending, sizing the engineering-talent pool, or surfacing platform momentum to a user. Counters are cached upstream (60s).
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  • For CFOs evaluating cross-border M&A deals: analyzes tax efficiency by mapping withholding tax rates, transfer pricing regulations, and permanent establishment risks across specified jurisdictions. Inputs include acquirer/target jurisdictions, deal structure, and transaction value. Outputs jurisdiction-specific tax exposure, efficiency scores, and risk flags. Uses World Bank Tax Rates API, IMF SDR data, and SEC EDGAR filings for corporate tax disclosures. — pass async:true REQUIRED to avoid x402 timeout.
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  • Get Lenny Zeltser's scoring playbook so your AI can score a draft locally against a cybersecurity-writing rating sheet. THIS IS THE ONLY TOOL THAT PRODUCES NUMERIC SCORES — the writing-coach tools (`get_security_writing_guidelines`, `ir_*`, `product_*`) never score. Returns the rubric plus step-by-step instructions for applying it. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.
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  • Fraud detection & risk scoring for an IP address. Answers "is this IP a proxy, VPN, or Tor exit node?", flags bots/crawlers and recent abuse, and returns a 0-100 fraud score plus geolocation (country, region, city, ISP, connection type). Example: check_ip({ ip: "8.8.8.8", strictness: 1 })
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